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Rail transportation success depends on efficient maintenance to avoid delays and malfunctions, particularly in rural areas with limited resources. We propose a cost-effective wireless monitoring system that integrates sensors and machine…

The assessment of in-service safety performance is an important task, not only in railways. For example it is important to identify deviations early, in particular possible deterioration of safety performance, so that corrective actions can…

应用统计 · 统计学 2020-09-02 Hendrik Schäbe , Jens Braband

To enable fully automated driving of trains, numerous new technological components must be introduced into the railway system. Tasks that are nowadays carried out by the operating stuff, need to be taken over by automatic systems.…

信号处理 · 电气工程与系统科学 2026-02-23 Tobias Herrmann , Nikolay Chenkov , Florian Stark , Matthias Härter , Martin Köppel

Nowadays, it is possible to collect precise data describing movements of public transport. Specifically, for each bus (or tram) geoposition data can be regularly collected. This includes data for all buses in Warsaw, Poland. Moreover, this…

机器学习 · 计算机科学 2022-04-12 Łukasz Pałys , Maria Ganzha , Marcin Paprzycki

With the focus that cities around the world have put on sustainable transportation during the past few years, biking has become one of the foci for local governments around the world. Cities all over the world invest in bike infrastructure,…

应用统计 · 统计学 2019-02-14 Sara Daraei , Konstantinos Pelechrinis , Daniele Quercia

Predictive maintenance of railway infrastructure, especially railroads, is essential to ensure safety. However, accurate prediction of crack evolution represents a major challenge due to the complex interactions between intrinsic and…

机器学习 · 计算机科学 2024-10-22 Sara Yasmine Ouerk , Olivier Vo Van , Mouadh Yagoubi

Railway systems require regular manual maintenance, a large part of which is dedicated to inspecting track deformation. Such deformation might severely impact trains' runtime security, whereas such inspections remain costly for both finance…

机器学习 · 计算机科学 2021-05-11 Yutao Chen , Yu Zhang , Fei Yang

Improved communication systems, shrinking battery sizes and the price drop of tracking devices have led to an increasing availability of trajectory tracking data. These data are often analyzed to understand animal behavior. In this work, we…

应用统计 · 统计学 2019-09-12 Gianluca Mastrantonio , Clara Grazian , Sara Mancinelli , Enrico Bibbona

Reliable obstacle detection on railways could help prevent collisions that result in injuries and potentially damage or derail the train. Unfortunately, generic object detectors do not have enough classes to account for all possible…

计算机视觉与模式识别 · 计算机科学 2023-07-31 Matthias Brucker , Andrei Cramariuc , Cornelius von Einem , Roland Siegwart , Cesar Cadena

Recently the European Union Agency for Railways (ERA) has received a mandate for 'the development of common safety methods for assessing the safety level and the safety performance of railway operators at national and Union level'.…

应用统计 · 统计学 2020-10-06 Jens Braband , Hendrik Schäbe

Mobility in urban and interurban areas, mainly by cars, is a day-to-day activity of many people. However, some of its main drawbacks are traffic jams and accidents. Newly made vehicles have pre-installed driving evaluation systems, which…

人机交互 · 计算机科学 2026-04-17 Oscar Romero , Aika Silveira Miura , Lorena Parra , Jaime Lloret

Despite an extensive literature has been devoted to mine and model mobility features, forecasting where, when and whom people will encounter/colocate still deserve further research efforts. Forecasting people's encounter and colocation…

社会与信息网络 · 计算机科学 2016-10-07 Karim Karamat Jahromi , Matteo Zignani , Sabrina Gaito , Gian Paolo Rossi

Growing anthropogenic pressures have increased the need for robust predictive models. Meeting this demand requires approaches that can handle bigger data to yield forecasts that capture the variability and underlying uncertainty of…

定量方法 · 定量生物学 2024-08-06 EM Wolkovich , T Jonathan Davies , William D Pearse , Michael Betancourt

Tribal lands in the United States have consistently exhibited higher crash rates and injury severities compared to other regions. To address this issue, effective data-driven safety analysis methods are essential for resource allocation and…

应用统计 · 统计学 2023-08-17 Tianyi Chen , Haotian Shi , Steven T. Parker , Glenn Vorhes , David A Noyce , Bin Ran

Learning-based behavior prediction methods are increasingly being deployed in real-world autonomous systems, e.g., in fleets of self-driving vehicles, which are beginning to commercially operate in major cities across the world. Despite…

机器学习 · 计算机科学 2023-05-24 Boris Ivanovic , James Harrison , Marco Pavone

Context Progresses in GNSS-based solution introduction in rail applications GNSS (Global Navigation Satellite System) is now used in most of our travels and each of our smartphone apps. Most of the usages are not safety-critical. But Europe…

人工智能 · 计算机科学 2024-10-25 Juliette Marais , Quentin Mayolle , Martin Fasquelle , Vincent Tardif , Emilie Chéneau-Grehalle

Globally rising demand for transportation by rail is pushing existing infrastructure to its capacity limits, necessitating the development of accurate, robust, and high-frequency positioning systems to ensure safe and efficient train…

机器人学 · 计算机科学 2023-08-24 Cornelius von Einem , Andrei Cramariuc , Roland Siegwart , Cesar Cadena , Florian Tschopp

The reconstruction of geographical data over a century, allows to figuring out the evolution of the French railway landscape, and how it has been impacted by major events (eg.: WWII), or longer time span processes : industry outsourcing,…

物理与社会 · 物理学 2021-11-08 Robert Jeansoulin

Disruptions are an inherent feature of transportation systems, occurring unpredictably and with varying durations. Even after an incident is reported as resolved, disruptions can induce irregular train operations that generate substantial…

Detecting potential obstacles in railway environments is critical for preventing serious accidents. Identifying a broad range of obstacle categories under complex conditions requires large-scale datasets with precisely annotated,…

计算机视觉与模式识别 · 计算机科学 2025-05-19 Qiushi Guo , Jason Rambach
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